Postdoctoral Scholar - Gurney Lab, Urban Emissions - 608052
Northern Arizona University - Flagstaff, AZ
posted 5 days ago
About the position
This Postdoctoral position will perform research on quantification and analysis of greenhouse gas (GHG), local air pollution (AQ), and anthropogenic heat emissions at the sub-urban spatial scale (buildings, factories, road segments) in specific urban areas of the US associated with a large DOE urban effort (Urban Integrated Field Laboratories). This is an ongoing effort to apply the 'Hestia' model (https://hestia.rc.nau.edu) to multiple urban domains in the US both as a contribution to a complete urban-scale GHG information system development and to build urban-scale policy analytics for urban climate policy. It is closely related to the 'Vulcan' estimation system (https://vulcan.rc.nau.edu/), which estimates GHG/AQ emissions for the entire US landscape at somewhat coarser spatial resolution.
Responsibilities
- Incorporation of existing codified GHG AQ, and heat estimation methods.
- Innovation towards new techniques.
- Analysis of urban GHG/AQ emissions in space and time.
- Comparison studies to alternative or independent methods.
- Interface with atmospheric inverse modelers.
- Review literature and identify appropriate approaches and develop peer-reviewed publications reflecting research outcomes.
- Existing codebase improvements, additions, expansion, and operation.
- Liaison with three IFL cities as part of the DOE IFL effort.
- Present project results to internal and external parties at regular meetings, seminars, and conferences.
- Writing of technical publication and reports including peer-reviewed publications.
- Postdoc is anticipated to contribute to proposals, ideally as a co-PI.
- Supervision of graduate student research.
- Other duties as assigned.
Requirements
- Ph.D. in a field related to position (e.g. Informatics, Geography, Civil Engineering, Urban Planning, Data Science) from an accredited college or university.
Nice-to-haves
- Numerical analysis experience.
- Minimum of 3 years experience in use of GIS.
- Minimum 2 years experience in application of geospatial statistical analysis.
- Minimum 2 years R/python programming experience.
- Experience working in linux environment with a high-performance computer.
- Experience working in a team environment with shared workflow (code, data, analysis).
- Experience in the application of machine learning.
- Experience in quantification of GHG emissions in urban context.
Benefits
- Generous health, dental and vision insurance.
- 10 days of vacation and 10 holidays per year.
- Tuition reduction for employees and qualified family members.
